scholarly journals Three dimensional winds: A maximum cross-correlation application to elastic lidar data

1996 ◽  
Author(s):  
William Tillman Buttler
Keyword(s):  
Cross Correlation ◽  
Three Dimensional ◽  
Lidar Data

scholarly journals What you see is where you go: visibility influences movement decisions of a forest bird navigating a three-dimensional-structured matrix

2021 ◽  
Vol 17 (1) ◽  
pp. 20200478
Author(s):  
Job Aben ◽  
Johannes Signer ◽  
Janne Heiskanen ◽  
Petri Pellikka ◽  
Justin M. J. Travis
Keyword(s):  
Physical Environment ◽  
Visual Cues ◽  
Three Dimensional ◽  
Forest Birds ◽  
Lidar Data ◽  
Perceptual Range ◽  
Movement Data ◽  
Structured Matrix ◽  
Viewshed Analysis ◽  
Step Selection

Animal spatial behaviour is often presumed to reflect responses to visual cues. However, inference of behaviour in relation to the environment is challenged by the lack of objective methods to identify the information that effectively is available to an animal from a given location. In general, animals are assumed to have unconstrained information on the environment within a detection circle of a certain radius (the perceptual range; PR). However, visual cues are only available up to the first physical obstruction within an animal's PR, making information availability a function of an animal's location within the physical environment (the effective visual perceptual range; EVPR). By using LiDAR data and viewshed analysis, we modelled forest birds' EVPRs at each step along a movement path. We found that the EVPR was on average 0.063% that of an unconstrained PR and, by applying a step-selection analysis, that individuals are 1.55 times more likely to move to a tree within their EVPR than to an equivalent tree outside it. This demonstrates that behavioural choices can be substantially impacted by the characteristics of an individual's EVPR and highlights that inferences made from movement data may be improved by accounting for the EVPR.

Three-Dimensional Microsphere Tracking Using Off-Focus Images Based on Cross-Correlation Matching Algorithm

2015 ◽  
Vol 35 (2) ◽  
pp. 0212002
Author(s):  
谢湘军 Xie Xiangjun ◽  
雷海 Lei Hai ◽  
常新宇 Chang Xinyu ◽  
曾雅楠 Zeng Yanan ◽  
胡晓东 Hu Xiaodong ◽  
...  
Keyword(s):  
Cross Correlation ◽  
Three Dimensional ◽  
Matching Algorithm ◽  
Correlation Matching

Application of cross-correlation algorithm in moving target range-gated three-dimensional laser active imaging

2016 ◽  
Vol 45 (6) ◽  
pp. 0617003
Author(s):  
范有臣 Fan Youchen ◽  
赵洪利 Zhao Hongli ◽  
孙华燕 Sun Huayan ◽  
郭惠超 Guo Huichao ◽  
赵延仲 Zhao Yanzhong
Keyword(s):  
Cross Correlation ◽  
Three Dimensional ◽  
Target Range ◽  
Moving Target ◽  
Correlation Algorithm ◽  
Active Imaging

Measurement of Three Dimensional Position of Particles by Single CCD Image Including Lens Aberration

2003 ◽  
Author(s):  
Hironobu Ueki ◽  
Masahiro Ishida ◽  
Daisaku Sakaguchi ◽  
Manabu Tokumoto
Keyword(s):  
Correlation Coefficient ◽  
Optical System ◽  
Cross Correlation ◽  
Particle Image ◽  
Three Dimensional ◽  
Transformation Function ◽  
Flow Measurements ◽  
Measuring Volume ◽  
Ccd Sensor ◽  
Ccd Image

A new technique using a single CCD image through a lens system with large aberration is proposed in the present study for measurement of the three dimensional position of particles, in which a thick laser light source and a forward-scattering light from particles are processed. This optical system could be very compact and applicable to various flow measurements. The particle image detected by a CCD sensor is distorted in the present system due to lens aberrations. A transformation function of the optical system, which is the relationship between the reference particle with unit luminosity in the measuring volume and the corresponding distorted particle image detected by a CCD sensor through symmetric-convex lenses, is constructed theoretically based on the image formation optics of small particles. In order to obtain a high accuracy in the measurement, it is important to remove the background noise and the light intensity non-uniformity in the measuring volume from the CCD particle image by using a low-pass filtering technique based on the FFT analysis. By calculating the cross-correlation coefficient between the measured particle image and the data base images prepared by the above transformation function, the three dimensional position of the particle is determined as the position at which the largest cross-correlation coefficient is obtained. It is verified experimentally that this compact measuring system is useful for measurement of the three dimensional position of the particle with a good accuracy.

Cross-correlation functions in two-dimensional and three-dimensional colloidal crystals

2001 ◽  
Vol 115 (23) ◽  
pp. 10945-10954 ◽  
Author(s):  
Yuichi N. Ohshima ◽  
Koushi E. Hatakeyam ◽  
Motoi Satake ◽  
Yumi Homma ◽  
Ryosuke Washidzu ◽  
...  
Keyword(s):  
Correlation Functions ◽  
Cross Correlation ◽  
Three Dimensional ◽  
Colloidal Crystals ◽  
Two Dimensional

Pattern Classification for GIS Base on GK Clustering Algorithm

2013 ◽  
Vol 448-453 ◽  
pp. 1955-1958
Author(s):  
Hui Wang ◽  
Xiu Wei Li ◽  
Yu Xin Yun ◽  
Hai Yan Yuan
Keyword(s):  
Pattern Classification ◽  
Cross Correlation ◽  
Clustering Algorithm ◽  
Partial Discharge ◽  
Three Dimensional ◽  
Pulse Amplitude ◽  
Correlation Factor ◽  
Two Dimensional ◽  
Clustering Method

Four typical defects in GIS for PD detection are proposed, and the pulse, amplitude, phases, number of PD has been used to form the three-dimensional PQN matrix. Based on the PQN matrix, three two-dimensional distributions of Hqmax~Phi, Hqmean~Phi and Hn~Phi can be achieved. Then the new GK clustering method is introduced to separate the four different defects according to separate the four different partial discharge defects in gas in GIS, according to the parameters of Skewness (Sk), Kurtosis (Ku), number of peaks (Pe), cross-correlation factor (CC) and the discharge factor Q.

scholarly journals X-Ray Cross-Correlation Analysis of Disordered Ensembles of Particles: Potentials and Limitations

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
R. P. Kurta ◽  
M. Altarelli ◽  
I. A. Vartanyants
Keyword(s):  
Correlation Analysis ◽  
Disordered Systems ◽  
Cross Correlation ◽  
Structural Information ◽  
Three Dimensional ◽  
X Ray ◽  
X Ray Scattering ◽  
Cross Correlation Analysis ◽  
2D And 3D ◽  
Ray Scattering

Angular X-ray cross-correlation analysis (XCCA) is an approach to study the structure of disordered systems using the results of X-ray scattering experiments. In this paper we summarize recent theoretical developments related to the Fourier analysis of the cross-correlation functions. Results of our simulations demonstrate the application of XCCA to two- and three-dimensional (2D and 3D) disordered ensembles of particles. We show that the structure of a single particle can be recovered using X-ray data collected from a 2D disordered system of identical particles. We also demonstrate that valuable structural information about the local structure of 3D systems, inaccessible from a standard small-angle X-ray scattering experiment, can be resolved using XCCA.

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